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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal INKOM Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Jurnal technoscientia Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IJID (International Journal on Informatics for Development) Indonesian Journal of Electrical Engineering and Computer Science JURNAL TEKNOLOGI TECHNOSCIENTIA
Utaminingrum, Fitri
Fakultas Ilmu Komputer, Universitas Brawijaya
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer

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Implementasi Sistem Kontrol dan Monitoring pH pada Tanaman Kentang Aeroponik secara Wireless Andrika Wahyu Wicaksono; Edita Rosana Widasari; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 5 (2017): Mei 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The needs of potato each year has increased, but not offset by increased production and land area for commodity crops of potatoes. To boost production in an increasingly limited land, aeroponics techniques into one solution for farmers who have no land availability. Aeroponics potato production techniques have yields more good than conventional techniques and with the land. PH is one of the elements that greatly affect the growth of aeroponic plant. The ideal pH range for an aeroponics system ranges between 5.5-6.5. Then the system control and monitoring is required in an aeroponics techniques. In this research for controlling and monitoring the State of a pH using wireless transmission. There are six nodes that is two nodes, one node sensor Coordinator, and three nodes of the actuators. From the test results obtained by the sensor data reading of pH value of 1% error within an error reading of 0.08 degree pH. Sensor data transmission using wireless data on delivery without hitch has the accuracy of data delivery of 99.98% with one node of the sensors and 96.13% with two sensor nodes. On delivery with the hitch has the level of accuracy of the data delivery of 99.93% with one sensor nodes and of 92.99% with two sensor nodes
Sistem Monitoring Cairan Infus Terpusat Menggunakan Pengolahan Citra Digital Ringga Aulia Primahayu; Fitri Utaminingrum; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 8 (2017): Agustus 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Imbalances between patient and medical personnel, especially nurses on duty 24 hours monitoring the condition of inpatients result in negligence. For example in terms of monitoring the condition of intravenous fluids. Based on these case examples, a system that is able to reduce the level of negligence and help the performance of medical personnel to improve hospital services. So to overcome this, a system designed to monitor intravenous fluids centrally using digital image processing. Some digital image processing methods used are thresholding to separate object image with the background, morphology to improve threshold image results by using dilation and erosion operation, moment invariant to describe characteristic shape and infusion fluid condition seen from a number of area and position. By using Raspberry Pi as a processing unit and sending information the infusion fluid condition is controlled centrally on the local network using TCP / IP socket as the communication medium to the server. The results of this study indicate that the system can detect infusion fluid conditions using several methods of processing digital images and send detection results to the server.
Pengenalan Citra Tanda Tangan Off-Line dengan Pemanfaatan Ciri Centroid Distance Function Rizka Husnun Zakiyyah; Agus Wahyu Widodo; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A person's signature is one of the most valid proof that shows ownership of documents and transactions that contain their most important data. However, the process of analizing its authenticity is still done manually. To resolve this problem, an image recognition system for signature will be developed by applying characteristic centroid distance function. This Image recognition process begins with preprocessing, such as binerisasi, filtering, cropping, resizing, and thinning. Next the position of pixels will be searched to store all the foreground pixels and centroid pixels of the image. All pixels stored distance will be calculated using centroid function and grouped according to the amount of features that were selected so that each group has the same amount of data. The average of centroid distance function will be counted on every group so that each group will generate one feature. The results of feature extraction will be processed with the k-nearest neighbor classification method. On the research that has been done the highest accuracy obtained from extraction characteristics of centroid distance function uses 20 class is 88.5% obtained from 20 features and k= 1 with the amount of 10 and 14 training data for each class. The highest accuracy to 50 class is 67.4% obtained from 15 features and k= 3 with 10 and 14 training data for each class.
Penentuan Jumlah Karakter pada Plat Nomor Kendaraan dengan menggunakan Selective Ratio Bounding Box Juniman Arief; Fitri Utaminingrum; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The system of determining the number of characters on the vehicle number plate is one of the applications required in modern times today. The first step taken is image capture using the camera, then perform image processing and segmentation on the vehicle license plate image. Then do the determination of the number of characters on the vehicle number plate by using bounding box and selective ratio bounding box. Before the process of detection or the introduction of vehicle license plate required the validity to determine the number of characters on the license plate of the vehicle in order to know the number of characters on the license plate of the vehicle so as not to be wrong in recognizing the character on the license plate of the vehicle. It is expected that the application is able to determine the number of characters on the license plate of the vehicle. Application has been tested on 15 samples of data plate number of vehicles with standard specifications of the Police of the Republic of Indonesia. Tests of 15 data samples were performed 5 times using several variations of the ratio values ​​of the threshold. From the results of the overall testing that has been done, the average level of accuracy in the use of bounding box is 54% in the whole test. In the use of selective ratio bounding box, the highest average accuracy level in the second test was 92% and the lowest accuracy level in the 4th test was 68%. While on the other test obtained the same average accuracy that is equal to 88%.
Pengembangan Sistem Deteksi Gerakan Kepala Sebagai Kontrol Pergerakan Kursi Roda Berbasis Embedded System Virza Audy Ervanda; Dahnial Syauqy; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheelchair was initially very helpful for users with leg defects, But there are problems for users who have more flaws to move their hands so some users are still difficult to use the wheelchair. Based on these problems, Researchers used head movement as an embedded system-based controller as wheelchair control. System will use an MPU6050 sensor which will be placed on the user's forehead and 2 pieces of NodeMCU where 1 NodeMCU on the controller is used as client and 1 NodeMCU in the wheelchair as server. Based on the implementation, by using the complementary the problem of reading angle values caused by noise can be solved so that the output becomes more stable and accurate. From the tests that have been done on 5 subjects, it is known that the initial determination of sensor readings is not 0° but has a range of X-axis angle values ​​of -11.61° to -20.70° with an average of -14.86°. Based on the head movement performed on the test, the average value on the X-axis is 30.24° when it is downward and -40.46 ° when upward. As for the Y-axis obtained and average value of -27.97° when tilt to the left and 26.83° when tilt to right. For data transmission, the system has 100% success rate with average response time about 52 ms.
Deteksi Objek Penghalang Secara Real-Time Berbasis Mobile Bagi Penyandang Tunanetra Menggunakan Analisis Blob Achmad Jafar Al Kadafi; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Blind is a condition when the visual sense experiencing interference or obstacles, so requiring an aids like stick to walking. But, the using of stick does not help them much in walk especially to detect obstacles. In Computer Vision science so possible for people with the visual impairment can do an activity like normal people in general. In computer vision science is so possible for people with visual impairment can do walking activities like a normal people in general. Therefore, this research built a system based computer vision that is applied to a mobile device to detect obstacles on real-time when the visual impairment person walks indoors. Mobile devices will be conditioned at a height of 1 meter above the floor and angle between 52 o to 62 o to get a distance of about 2 meters in front of the user. In general, the obstruction detection process built by applying the Connected Component Labeling method to get a blob from the image. To support the detection process, segmentation process is done using threshold method by utilizing RGB normalization color model based on the dominant bright of floor color. The threshold value used is based on the minimum and maximum values ​​of each component of RGB normalization. Test results shows that the system is able to detect obstacles with an accuracy of 81.25%.
Pengenalan Plat Nomor Mobil Menggunakan Metode Learning Vector Quantization Beryl Labique Ahmadie; Agus Wahyu Widodo; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The amount of vehicles in Indonesia increases every year, this causing long queues at gates, mall, or tolls that require the process of recording license plates. This research will help simplify the process of recording license plate by creating a vehicle license plate recognition system. The system will try to recognize the license plate from a digital image. The first step in the license plate recognition system is to detect the location of the license plate by applying vertical edge detection because the area of license plate contains rich edge and texture information. The next step is character segmentation, this is a process to get characters from license plate image. this can be done by applying connected component algorithm. The last step is character recognition using learning vector quantization algorithm. Based on the result of this research, the highest accuracy is 94% in the license plate detection process, the highest f-measure value is 0,88 in the character segmentation process and the highest accuracy for character recognition using Learning Vector Quantization algorithm is 86,67%.
Intellegence Vehicle Counting Menggunakan Metode Combination Value Saturation Pada Video Lalu Lintas Guruh Adi Purnomo; Imam Cholissodin; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Transportation needs have become almost the needs of every activity undertaken by humans, and it greatly affects the number of vehicle growth in Indonesia according to data Traffic Corps of the State Police of the Republic of Indonesia noted, the number of vehicles that operate increases every year, causing congestion and the need for a solution to Overcome it. One solution to overcome the congestion by diverting the flow of vehicles to other lanes, and to overcome this is required to calculate the vehicle so that no congestion occurs again. Because at this time the calculation of the car is still done manually, then required a system that can calculate the vehicle automatically as "intellegence vehicle counting menggungakan combination value method saturation on video traffic". Based on the test, this system has an average vehicle accuracy of 65.38%.
Deteksi Zebra Cross Pada Citra Digital Dengan Menggunakan Metode Hough Transform Fitria Indriani; Fitri Utaminingrum; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The high number of accidents that injure pedestrians while crossing is caused by motorists who are less cautious. Accidents of course undesirable can be prevented and minimized the culture of orderly traffic one by using facilities such as zebra cross. In this research, we propose the process of zebra cross detection on digital image using Hough Transform method, in order to be implemented in smart vehicle navigation system in identifying zebra cross in order to increase equality of both riders and zebra cross users. The zebra cross detection process starts from pre-processing, which consists of grayscaling process, mean filtering, dilation, and histogram equalization, for our edge detection using the next stage canny method is the image inversion which aims to change the pixels of white to black, and vice versa. Then for line detection on zebra cross using hough transform method. Based on the test, the highest accuracy value when the 100 threshold value on the first morning condition test data is 95.2%. The result of testing the variation of the structure element obtained the maximum results with the use of rectangle has the highest accuracy value of 95.2% compared with the use of other structure element form. In the result of testing edge detection sobel has the highest accuracy value of 92.8%.
Sistem Monitoring RPM Roda Smart Wheelchair Pada Halaman Web Berbasis Ajax Menggunakan Sensor Optocoupler Afdy Clinton; Dahnial Syauqy; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The difference in the speed of an electric motor can produce an unsuitable output. The use of two electric motors with different speeds to move the wheels of a smart wheelchair or a robot car causes the device to move in the direction that is not intended. Based on these problems, it needs a wireless RPM monitoring system in order to know the speed difference between the two motors or both wheels with ease. This study focuses on knowing the RPM of both wheels smart wheelchair by using incremental encoder. 2 Optocoupler Sensors and 2 encoder disks with 20holes is implemented in the smart wheelchair to know the RPM value of each wheel. The Optocoupler sensor is used to detect how many holes are detected in 1sec, so the RPM of the motor or wheel can be known. Based 50 tests ​​of the Optocoupler Sensor on the right side of the prototype obtained an average percent error of 0.92% and the left side obtained 0.87%. Based on 10 tests of Sensor Optocoupler on the right side on smart wheelchair obtained an average percent error of 2.00% and left side obtained 2.06%. The connection status of NodeMCU WiFi when connected to a laptop at a distance of 10-50meter is connected and the connection status at a distance of 60-70meter is disconnected.
Co-Authors Abdan Idza Hurmuzi Abiyyu Herwanto Achmad Dinda Basofi Sudirman Achmad Jafar Al Kadafi Achmad Rizqi Ilham Shaleh Adinugroho, Sigit Aditia Reza Nugraha Afdy Clinton Afrizal Rivaldi Agung Setia Budi Agung Setia Budi Agung Setia Budi Agus Wahyu Widodo Ahmad Wali Satria Bahari Johan Ahmad Wildan Farras Mumtaz Ainandafiq Muhammad Alqadri Aisyah Awalina Akbar Dicky Purwanto Akbar Wira Bramantya Alfan Rafi'uddin Ardhani Alfianto Palebangan Aliffandi Purnama Putra Alrynto Alrynto Alvin Evaldo Darmawan Amalia Septi Mulyani Andika Bayhaki Al Rasyid Syah Andika Kalvin Simarmata Andrika Wahyu Wicaksono Anugrah Zeputra Arthur Ahmad Fauzi Asep Ranta Munajat Asfar Triyadi Audrey Athallah Asyam Fauzan Aufa Nizar Faiz Auliya Firdaus Bagas Nur Rahman Bagus Septian Aditya Wijayanto Barlian Henryranu Prasetio Beryl Labique Ahmadie Blessius Sheldo Putra Laksono Budi Atmoko Burhan, M.Shochibul Choirul Huda Constantius Leonardo Pratama Dahnial Syauqy Daris Muhammad Yafi Desy Marinda Oktavia Sitinjak Dewi Amalia Dimas Rizqi Firmansyah Dony Satrio Wibowo Duwi Purnama Sidik Dzakwan Daffa Ramdhana Edita Rosana Widasari Eko Setiawan Eko Setiawan Enny Trisnawati Ervin Yohannes Ervin Yohannes Ester Nadya Fiorentina Lumban Gaol Faris Chandra Febrianto Fatwa Ramdani, Fatwa Figo Ramadhan Hendri Fitra A. Bachtiar Fitra A. Bachtiar Fitra Abdurrachman Bachtiar Fitrahadi Surya Dharma Fitria Indriani Fitriyah, Hurriyatul Fitriyatul Qomariyah Frihandhika Permana Gabe Siringoringo Gagana Ghifary Ilham Gembong Edhi Setyawan Guruh Adi Purnomo Herman Tolle Herman Tolle Herman Tolle Hernanda Agung Saputra Hilman Syihan Ghifari Hilmy Bahy Hakim Huda Ahmad Hidayatullah Hurriyatul Fitriyah Ichlasuning Diah Amaliah Ichsan Ali Rachimi Ida Yusnilawati Ihwanudien Hasan Robbani Ikhsan Rahmad Ilham Imam Cholissodin Imam Faris Intan Fatmawati Irnayanti Dwi Kusuma Issa Arwani Joan Chandra Kustijono Juniman Arief Kelvin Himawan Eka Maulana Kezia Amelia Putri Kirana Sekar Ayu Krisna Pinasthika Lailil Muflikhah Laksono Trisnantoro Leina Alimi Zain Lilo Nofrizal Akbar Linda Silvya Putri Lita Nur Fitriani M. Ali Fauzi M. Fiqhi Hidayatulah M.Shochibul Burhan Marsha Nur Shafira Masyita Lionirahmada Meidiana Adinda Prasanty Mela Tri Audina Misran Misran Mochammad Bustanul Ilmi Mochammad Hannats Hanafi Ichsan Mohammad Andy Purwanto Mohammad Isya Alfian Mohammad Sezar Nusti Ilhami Muchlas Muchlas Muhamad Fauzan Alfiandi Muhammad Amin Nurdin Muhammad Arga Farrel Arkaan Muhammad Fadhel Haidar Muhammad Hafid Khoirul Muhammad Ibrahim Kumail Muhammad Nazrenda Ramadhan Muhammad Pandu Dwi Cahyo Muhammad Rafi Zaman Muhammad Raihan Wardana Budiarto Muhammad Rizky Rais Muhammad Sulthon Yazid Basthomi Muhammad Tri Buwana Zulfikar Ardi Muhammad Wafi Muzammilatul Jamiilah Nico Dian Nugraha Niko Aji Nugroho Noza Trisnasari Alqoria Nugraheny Wahyu Try Nyoman Kresna Aditya Wiraatmaja Olivia Rumiris Sitanggang Onky Soerya Nugroho Utomo Ovy Rochmawanti Paulus Ojak Parasian Putra Pandu Adikara Putra, Firnanda Al Islama Achyunda Qonita Luthfiyani Qurrotul A'yun Rachmad Jibril Al Kautsar Rahma Tiara Puteri Rahmatul Bijak Nur Kholis Rakhmadina Noviyanti Randy Cahya Wihandika Randy Cahya Wihandika Renaldi Primaswara Praetya Renita Leluxy Sofiana Rhaka Gemilang Sentosa Ringga Aulia Primahayu Riyandi Banovbi Putera Irsal Rizal Maulana Rizal Maulana, Rizal Rizdania Dermawi Rizka Husnun Zakiyyah Rizky Haris Risaldi Rizky Teguh Nursetyawan Samuel Andika Slamet Arifmawan Sri Mayena Syahrul Yoga Pradana Tiara Sri Mulati Tibyani Tibyani Timothy K. Shih Tobias Sion Julian Versa Christian Wijaya Virza Audy Ervanda Wahyu Adi Prijono Waskitha Wijaya waskitha wijaya Wayan Firdaus Mahmudy Wijaya Kurniawan William Hutamaputra Willy Andika Putra Wisik Dewa Maulana Yoke Kusuma Arbawa Yongki Pratama Yuita Arum Sari Yuita Arum Sari Yuita Arum Sari Zamaliq Zamaliq Zhuliand Rachman Zulfina Kharisma Frimananda